A new quartet approach for reconstructing phylogenetic trees: quartet joining method. - Bin Ma 002; Lei Xin; Kaizhong Zhang (J. Comb. Optim., 2008)

Better score function for peptide identification with ETD MS/MS spectra. - Xiaowen Liu; Baozhen Shan; Lei Xin; Bin Ma 002 (BMC Bioinform., 2010)

ℓ1-Norm-Based Reconstruction Algorithm for Particle Sizing. - Lijun Xu 001; Lei Xin; Zhang Cao (IEEE Trans. Instrum. Meas., 2012)

Laser spot center location by using the gradient-based and least square algorithms. - Lei Xin; Lijun Xu 001; Zhang Cao (I2MTC, 2013)

Compressive sensing based multi-frequency synthesis. - Feng Li 003; Tim J. Cornwell; Frank de Hoog; Lei Xin; Yi Guo 001 (DSP, 2016)

Protein identification with deep learning: from abc to xyz. - Ngoc Hieu Tran; Zachariah Levine; Lei Xin; Baozhen Shan; Ming Li (CoRR, 2017)

De novo peptide sequencing by deep learning. - Ngoc Hieu Tran; Xianglilan Zhang; Lei Xin; Baozhen Shan; Ming Li (Proc. Natl. Acad. Sci. USA, 2017)

A Framework of Mixed Sparse Representations for Remote Sensing Images. - Feng Li 003; Lei Xin; Yi Guo 001; Junbin Gao; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2017)

Multitemporal Mid-Infrared Imagery Based Calibration and Super Resolution for Gaofen-4. - Feng Li 003; Lei Xin; Yi Guo 001; Xiuping Jia (IGARSS, 2018)

A Fast Algorithm to Find All Paths for Hyperspectral Unmixing. - Yang Liu; Yi Guo 001; Feng Li 003; Lei Xin; Puming Huang (IGARSS, 2018)

DeepIso: A Deep Learning Model for Peptide Feature Detection. - Fatema Tuz Zohora; Ngoc Hieu Tran; Xianglilan Zhang; Lei Xin; Baozhen Shan; Ming Li (CoRR, 2018)

Super-Resolution for GaoFen-4 Remote Sensing Images. - Feng Li 003; Lei Xin; Yi Guo 001; Dongsheng Gao; Xianghao Kong; Xiuping Jia (IEEE Geosci. Remote. Sens. Lett., 2018)

Moving Targets Detection for Satellite-Based Surveillance Video. - Xiaoyong Wang; Feng Li 003; Lei Xin; Jun Ma; Xue Yang; Xing Chang (IGARSS, 2019)

DeepNovoV2: Better de novo peptide sequencing with deep learning. - Rui Qiao 001; Ngoc Hieu Tran; Ming Li 001; Lei Xin; Baozhen Shan; Ali Ghodsi 001 (CoRR, 2019)

Sparse Dictionary Learning for Blind Hyperspectral Unmixing. - Yang Liu; Yi Guo 001; Feng Li 003; Lei Xin; Puming Huang (IEEE Geosci. Remote. Sens. Lett., 2019)

Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions. - Kananart Kuwaranancharoen; Lei Xin; Shreyas Sundaram (ACC, 2020)

PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation. - Fatema Tuz Zohora; M. Ziaur Rahman; Ngoc Hieu Tran; Lei Xin; Baozhen Shan; Ming Li (CoRR, 2020)

Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines. - Ngoc Hieu Tran; Rui Qiao 001; Lei Xin; Xin Chen; Baozhen Shan; Ming Li 001 (Nat. Mach. Intell., 2020)

An Improved Mapping with Super-Resolved Multispectral Images for Geostationary Satellites. - Xue Yang; Feng Li 003; Lei Xin; Xiaotian Lu; Ming Lu; Nan Zhang (Remote. Sens., 2020)

A Huber Function based Restoration Algorithm for Astronomy Image Compression. - Lei Xin; Feng Li 003; Xue Yang; Shijie Sun 002; Yu Zhou; Zhijia Liu (I2MTC, 2021)

Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. - Rui Qiao 001; Ngoc Hieu Tran; Lei Xin; Xin Chen; Ming Li 001; Baozhen Shan; Ali Ghodsi 001 (Nat. Mach. Intell., 2021)

ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition. - Wenju Zhang; Zhewei Liang; Xin Chen; Lei Xin; Baozhen Shan; Zhigang Luo; Ming Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories. - Lei Xin; George Chiu 001; Shreyas Sundaram (ACC, 2022)

Identifying the Dynamics of a System by Leveraging Data from Similar Systems. - Lei Xin; Lintao Ye; George Chiu 001; Shreyas Sundaram (ACC, 2022)

Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs. - Lei Xin; George Chiu 001; Shreyas Sundaram (CDC, 2022)

Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors. - Chunhai Yu; Ting Li; Xiaotang Yang; Ruiping Zhang; Lei Xin; Zhikai Zhao; Jingjing Cui (BMC Medical Imaging, 2022)

Hyper-Temporal Data Based Modulation Transfer Functions Compensation for Geostationary Remote Sensing Satellites. - Xue Yang; Liang Liang; Feng Li 003; Qingjiu Tian; Xiaotian Lu; Lei Xin; Yi Guo 001; Wenjun Dong (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Linearized Models from Nonlinear Systems with Finite Data. - Lei Xin; George Chiu 001; Shreyas Sundaram (CDC, 2023)

Noise Reduction of Partial Discharge Detection of Gas Insulation Switchgear via Time-Frequency Matrix-based Singular Value Decomposition. - Jing Liu; Yanliang He; Dongxin Hao; Lei Xin; Changjian Yang; Shuangzan Ren; Zongyao Wang; Yuan Yan (EEET, 2023)

Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew T. Hale (CoRR, 2023)

Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model. - Zeping Mao; Ruixue Zhang; Lei Xin; Ming Li 001 (Nat. Mac. Intell., 2023)

Investigation on Low-light Image Enhancement based on Multispectral Reconstruction. - Jinxing Liang; Zhuan Zuo; Lei Xin; Xiangcai Ma; Hang Luo 003; Xinrong Hu; Kaida Xiao (LIM, 2024)

C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles. - Jianwen Li; Hyunsang Park; Wenjian Hao; Lei Xin; Jalil Chavez-Galaviz; Ajinkya Chaudhary; Meredith Bloss; Kyle Pattison; Christopher Vo; Devesh Upadhyay; Shreyas Sundaram; Shaoshuai Mou; et al. (CoRR, 2024)

Control of SIR Epidemics: Sacrificing Optimality for Feasibility. - Baike She; Lei Xin; Shreyas Sundaram; Philip E. Paré (CoRR, 2024)

Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing. - Zheng Ma 011; Zeping Mao; Ruixue Zhang; Jiazhen Chen; Lei Xin; Paul Shan; Ali Ghodsi 001; Ming Li 001 (CoRR, 2024)

Modeling Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew Hale 001 (IEEE Control. Syst. Lett., 2024)

An Adaptive Thresholding Method With Local Binary Patterns Features for Image Reconstruction. - Ruixuan Li 010; Feng Li 003; Lei Xin; Xue Yang; Nan Zhang (IEEE Geosci. Remote. Sens. Lett., 2024)

Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries. - Kananart Kuwaranancharoen; Lei Xin; Shreyas Sundaram (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Performance Limitations and Optimizations of Linear Driver Optics for 200G/Lane and beyond. - Jianying Zhou 005; Lei Xin; Jin Hong (OFC, 2025)

Online change points detection for linear dynamical systems with finite sample guarantees. - Lei Xin; George T.-C. Chiu; Shreyas Sundaram (Autom., 2025)

Learning linearized models from nonlinear systems under initialization constraints with finite data. - Lei Xin; Baike She; Qi Dou 001; George T.-C. Chiu; Shreyas Sundaram (Autom., 2025)

Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification. - Zicheng Liu 006; Siyuan Li 002; Zhiyuan Chen 008; Lei Xin; Fang Wu 002; Chang Yu 001; Qirong Yang; Yucheng Guo; Yujie Yang; Stan Z. Li (CoRR, 2025)

Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality. - Zhenglun Kong; Yize Li; Fanhu Zeng; Lei Xin; Shvat Messica; Xue Lin; Pu Zhao; Manolis Kellis; Hao Tang; Marinka Zitnik (CoRR, 2025)

Learning Dynamical Systems by Leveraging Data From Similar Systems. - Lei Xin; Lintao Ye; George Chiu 001; Shreyas Sundaram (IEEE Trans. Autom. Control., 2025)